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A Stochastic Model for the Evolution of Cloud Cover, E,Timation of Parameters and Goodness of Fit Based on Boston Data

机译:基于波士顿数据的云量,E,参数抽样和拟合优度的随机模型

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A stochastic model is proposed for the evolution of cloud cover. In this model each of the four observable states (clear, partially cloudy, cloudy, and overcast) is assumed to be the image under some function of two states of an eight state Markov chain. Estimates are given of transition probabilities in the observable four state process. Tables which allow assessment of the accuracy of the estimates and of the goodness of fit of the model are also provided. (Author)

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